如何使用grep命令在gnuplot中使用for循环 [英] How to use a for loop in gnuplot with a grep command
本文介绍了如何使用grep命令在gnuplot中使用for循环的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我有一个大数据文件，我想用特定的数据集在gnuplot中对其进行绘制.说我的文件就是这种类型的文件(仅在顶部几行)
I have a large data file and I want to plot it in gnuplot with a particular data set. say my file is with this type (posting few top rows only)
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7229E-21 0.34280603E-21 0.25327229E-21 -0.26805713E-04 0.35705226E-21 0.24590563E-21 0.26100832E-21 -0.25500918E-04 0.69475951E+16 0.90015851E-01 0.47533975E+00 0.90015851E-01 0.69475951E+16 0.
47260759E+00 0.47533975E+00 0.47260759E+00 0.67161950E+16
-0.00088 50.0000 -73.63219428 0.37418236E+21 0.61311700E+04 0.23109988E+05 0.61311700E+04 0.37418236E+21 0.22356056E+05 0.23109988E+05 0.22356056E+05 0.32270480E+21 0.86013329E-05 0.5525
6665E-22 0.46027248E-21 0.55256665E-22 0.86013329E-05 0.64014524E-21 -0.12353787E-21 0.48569415E-22 0.17028764E-04 0.45982260E+15 0.81727432E-02 0.31599025E-01 0.81727432E-02 0.45982260E+15 0.
30841926E-01 0.31599025E-01 0.30841926E-01 0.44006283E+15
-0.00088 100.0000 -73.63046660 0.37373730E+21 0.64305446E+04 0.24858504E+05 0.64305446E+04 0.37373730E+21 0.24216928E+05 0.24858504E+05 0.24216928E+05 0.34631993E+21 0.54702932E-05 0.1658
5544E-21 0.70371007E-21 0.16585544E-21 0.54702932E-05 0.78698173E-21 -0.48552261E-23 0.89262698E-22 0.15347130E-04 0.89850207E+15 0.15880313E-01 0.67465074E-01 0.15880313E-01 0.89850207E+15 0.
66557114E-01 0.67465074E-01 0.66557114E-01 0.93449675E+15
-0.00088 150.0000 -73.62997106 0.37178121E+21 0.64189202E+04 0.25769357E+05 0.64189202E+04 0.37178121E+21 0.25218083E+05 0.25769357E+05 0.25218083E+05 0.35827087E+21 -0.22175581E-05 0.1717
1257E-21 0.53312586E-21 0.17171257E-21 -0.22175581E-05 0.55495686E-21 0.47262063E-22 0.78279193E-22 0.45126183E-05 0.13515816E+16 0.20313928E-01 0.10030165E+00 0.20313928E-01 0.13515816E+16 0.
98972467E-01 0.10030165E+00 0.98972467E-01 0.13892382E+16
-0.00088 200.0000 -73.63064344 0.37100313E+21 0.62174829E+04 0.26177025E+05 0.62174829E+04 0.37100313E+21 0.25673768E+05 0.26177025E+05 0.25673768E+05 0.36357466E+21 -0.63016000E-05 0.2106
9518E-21 0.33004815E-21 0.21069518E-21 -0.63016000E-05 0.32327519E-21 0.73553769E-22 0.71720514E-22 -0.27600033E-05 0.18067844E+16 0.23389184E-01 0.13130795E+00 0.23389184E-01 0.18067844E+16 0.
12958097E+00 0.13130795E+00 0.12958097E+00 0.18231754E+16
-0.00088 250.0000 -73.63201945 0.37073193E+21 0.59611054E+04 0.26339008E+05 0.59611054E+04 0.37073193E+21 0.25865024E+05 0.26339008E+05 0.25865024E+05 0.36575452E+21 -0.87246423E-05 0.2527
2511E-21 0.21006243E-21 0.25272511E-21 -0.87246423E-05 0.19346653E-21 0.86377627E-22 0.72179562E-22 -0.70234263E-05 0.22592267E+16 0.26834422E-01 0.16194190E+00 0.26834422E-01 0.22592267E+16 0.
16000327E+00 0.16194190E+00 0.16000327E+00 0.22539280E+16
-0.00088 300.0000 -73.63388094 0.37059725E+21 0.57200805E+04 0.26388504E+05 0.57200805E+04 0.37059725E+21 0.25937968E+05 0.26388504E+05 0.25937968E+05 0.36652831E+21 -0.10650982E-04 0.2802
7615E-21 0.15871828E-21 0.28027615E-21 -0.10650982E-04 0.14127829E-21 0.94981648E-22 0.78791576E-22 -0.97803455E-05 0.27091876E+16 0.31151464E-01 0.19270788E+00 0.31151464E-01 0.27091876E+16 0.
19068573E+00 0.19270788E+00 0.19068573E+00 0.26869618E+16
-0.00088 350.0000 -73.63614996 0.37048515E+21 0.55180785E+04 0.26389620E+05 0.55180785E+04 0.37048515E+21 0.25960717E+05 0.26389620E+05 0.25960717E+05 0.36669836E+21 -0.12440648E-04 0.2919
2701E-21 0.14519602E-21 0.29192701E-21 -0.12440648E-04 0.13087283E-21 0.10399632E-21 0.90465017E-22 -0.11883078E-04 0.31568961E+16 0.36263232E-01 0.22355459E+00 0.36263232E-01 0.31568961E+16 0.
22149884E+00 0.22355459E+00 0.22149884E+00 0.31212561E+16
-0.00088 400.0000 -73.63880416 0.37036359E+21 0.53575705E+04 0.26370453E+05 0.53575705E+04 0.37036359E+21 0.25962009E+05 0.26370453E+05 0.25962009E+05 0.36661010E+21 -0.14182669E-04 0.2922
0978E-21 0.15013898E-21 0.29220978E-21 -0.14182669E-04 0.14042935E-21 0.11496157E-21 0.10587162E-21 -0.13709985E-04 0.36020363E+16 0.41934011E-01 0.25428552E+00 0.41934011E-01 0.36020363E+16 0.
25219999E+00 0.25428552E+00 0.25219999E+00 0.35543290E+16
-0.00088 450.0000 -73.64184230 0.37022231E+21 0.52333430E+04 0.26342343E+05 0.52333430E+04 0.37022231E+21 0.25953006E+05 0.26342343E+05 0.25953006E+05 0.36640177E+21 -0.15893927E-04 0.2862
2579E-21 0.16414594E-21 0.28622579E-21 -0.15893927E-04 0.15932400E-21 0.12801731E-21 0.12375407E-21 -0.15409973E-04 0.40438995E+16 0.47936929E-01 0.28469972E+00 0.47936929E-01 0.40438995E+16 0.
28256954E+00 0.28469972E+00 0.28256954E+00 0.39837674E+16
-0.00088 500.0000 -73.64527159 0.37005624E+21 0.51383471E+04 0.26309427E+05 0.51383471E+04 0.37005624E+21 0.25937643E+05 0.26309427E+05 0.25937643E+05 0.36612421E+21 -0.17573957E-04 0.2778
5495E-21 0.18306450E-21 0.27785495E-21 -0.17573957E-04 0.18280354E-21 0.14281249E-21 0.14309562E-21 -0.17035150E-04 0.44815165E+16 0.54098895E-01 0.31461586E+00 0.54098895E-01 0.44815165E+16 0.
31242259E+00 0.31461586E+00 0.31242259E+00 0.44073774E+16
-0.00088 550.0000 -73.64910260 0.36986122E+21 0.50659443E+04 0.26272890E+05 0.50659443E+04 0.36986122E+21 0.25917047E+05 0.26272890E+05 0.25917047E+05 0.36579299E+21 -0.19218494E-04 0.2695
4434E-21 0.20509650E-21 0.26954434E-21 -0.19218494E-04 0.20879750E-21 0.15888880E-21 0.16314438E-21 -0.18599755E-04 0.49137589E+16 0.60300709E-01 0.34386977E+00 0.60300709E-01 0.49137589E+16 0.
34159799E+00 0.34386977E+00 0.34159799E+00 0.48230954E+16
-0.00088 600.0000 -73.65334679 0.36963309E+21 0.50106041E+04 0.26232768E+05 0.50106041E+04 0.36963309E+21 0.25891307E+05 0.26232768E+05 0.25891307E+05 0.36540978E+21 -0.20822820E-04 0.2626
0163E-21 0.22943144E-21 0.26260163E-21 -0.20822820E-04 0.23640317E-21 0.17581883E-21 0.18337464E-21 -0.20104328E-04 0.53394250E+16 0.66465448E-01 0.37231234E+00 0.66465448E-01 0.53394250E+16 0.
36995156E+00 0.37231234E+00 0.36995156E+00 0.52289612E+16
-0.00088 650.0000 -73.65801490 0.36936762E+21 0.49679766E+04 0.26188686E+05 0.49679766E+04 0.36936762E+21 0.25860167E+05 0.26188686E+05 0.25860167E+05 0.36497102E+21 -0.22382683E-04 0.2575
5998E-21 0.25565946E-21 0.25755998E-21 -0.22382683E-04 0.26521737E-21 0.19324488E-21 0.20343380E-21 -0.21545303E-04 0.57573082E+16 0.72546330E-01 0.39981053E+00 0.72546330E-01 0.57573082E+16 0.
39735516E+00 0.39981053E+00 0.39735516E+00 0.56231557E+16
-0.00088 700.0000 -73.66311585 0.36906067E+21 0.49347436E+04 0.26140162E+05 0.49347436E+04 0.36906067E+21 0.25823297E+05 0.26140162E+05 0.25823297E+05 0.36447145E+21 -0.23894574E-04 0.2544
7799E-21 0.28352559E-21 0.25447799E-21 -0.23894574E-04 0.29504345E-21 0.21088140E-21 0.22309387E-21 -0.22918721E-04 0.61662451E+16 0.78516921E-01 0.42624970E+00 0.78516921E-01 0.61662451E+16 0.
42369819E+00 0.42624970E+00 0.42369819E+00 0.60040577E+16
-0.00088 750.0000 -73.66865606 0.36870841E+21 0.49084160E+04 0.26086737E+05 0.49084160E+04 0.36870841E+21 0.25780392E+05 0.26086737E+05 0.25780392E+05 0.36390571E+21 -0.25355784E-04 0.2531
5245E-21 0.31282663E-21 0.25315245E-21 -0.25355784E-04 0.32575977E-21 0.22850582E-21 0.24221285E-21 -0.24221592E-04 0.65651466E+16 0.84363890E-01 0.45153530E+00 0.84363890E-01 0.65651466E+16 0.
44888920E+00 0.45153530E+00 0.44888920E+00 0.63702891E+16
-0.00088 800.0000 -73.67463901 0.36830739E+21 0.48871430E+04 0.26028025E+05 0.48871430E+04 0.36830739E+21 0.25731210E+05 0.26028025E+05 0.25731210E+05 0.36326904E+21 -0.26764355E-04 0.2532
5713E-21 0.34336830E-21 0.25325713E-21 -0.26764355E-04 0.35726002E-21 0.24594704E-21 0.26070611E-21 -0.25452271E-04 0.69530140E+16 0.90081852E-01 0.47559329E+00 0.90081852E-01 0.69530140E+16 0.
47285647E+00 0.47559329E+00 0.47285647E+00 0.67207365E+16
-0.00083 50.0000 -73.63460788 0.37260205E+21 0.61107593E+04 0.22946119E+05 0.61107593E+04 0.37260205E+21 0.22154164E+05 0.22946119E+05 0.22154164E+05 0.31988878E+21 0.85731826E-05 0.4297
9228E-22 0.39630729E-21 0.42979228E-22 0.85731826E-05 0.57458467E-21 -0.12625719E-21 0.42899215E-22 0.16148230E-04 0.45714847E+15 0.80318416E-02 0.31283285E-01 0.80318416E-02 0.45714847E+15 0.
30552566E-01 0.31283285E-01 0.30552566E-01 0.43628859E+15
这些数据点具有第二列中的周期性，并且coloum中的值可以扩展到任何更高的值，例如直到1200.0000`
These data points have a periodicity according in column two and the value in coloum can extend to any higher value, say upto 1200.0000`
我想以这样的方式进行for循环:grep值100.000、150.000、200.0000或其他任何在第二行中具有模式的值，然后在单个图中进行绘制.
I want to make a for loop in such a way that it grep the value 100.000, 150.000, 200.0000 or any other value having pattern in colum two and then plot in a single plot.
为
plot "$i.dat" u 1:2 w l lt 1 lw 3
在shell脚本中，我可以这样做
From the shell script I can do like this
for i in 100.0000 150.0000 200.0000
grep '$i' case.data > $i.dat
然后我需要使用如下图在单个图中绘制$ i.dat绘制"$ i.dat" u 1:2 w l lt 1 lw 3
and then I need to plot $i.dat in a single plot using like below plot "$i.dat" u 1:2 w l lt 1 lw 3
请仔细阅读，可以从gnuplot中的手动绘图中获取所需的绘图，如下所示，但我希望使用可变形式.
Please read it carefully, The plot what I want can be obtained from a manual plot in the gnuplot as below but I want in a variable form.
plot "100.0000.dat" u 1:2 w l lt 1 lw 3 ' \
plot "150.0000.dat" u 1:2 w l lt 1 lw 3 ' \
plot "200.0000.dat" u 1:2 w l lt 1 lw 3
在下一个子图中，将进行类似的绘制，但列号将更改，即
In the next subplot similar plots will be done but the column number will be changed, i.e.
plot "100.0000.dat" u 1:3 w l lt 1 lw 3 ' \
plot "150.0000.dat" u 1:3 w l lt 1 lw 3 ' \
plot "200.0000.dat" u 1:3 w l lt 1 lw 3
或
plot "100.0000.dat" u 1:(($4*$5)/$3) w l lt 1 lw 3 ' \
plot "150.0000.dat" u 1:(($4*$5)/$3) w l lt 1 lw 3 ' \
plot "200.0000.dat" u 1:(($4*$5)/$3) w l lt 1 lw 3
并且可能会有更多类似的情节.
and there may be more similar plots.
So the finally what I like to get it
请参见下文，在一个绘图中将有$ i(例如我在绘图(c)中使用它.
See below, in one plot there will $i (say I use it in plot (c).
set terminal postscript eps enhanced size 20cm,20cm color solid lw 3 "Times-Roman" 25
set output "output.eps" be chansed as keep 1,1 at n1
set multiplot \
layout m,n rowsfirst \ ## here m and n are variable that I will adjust according to my goal.
title "{/:Bold=28 }" \
margins screen 0.11,0.82,0.15,0.90 \
spacing screen 0.00,0.00
set xticks ..
set yticks ..
set xrange ..
set yrange ..
set lable "(a)" font ....
plot "$i" u 1:5 w l lt .... , "$i" u 1:12 w l lt .... ## Here and here-afrer $i will use all the values in a single subplot that grep from my data file as per colum 2.
unset ..
unset ..
set ..
set ..
set lable "(b)" font ....
plot "$i" u 1:($8*$9) w l lt .... , "$i" u 1:($24*$25) w l lt ....
unset ..
unset ..
set ..
set ..
set lable "(c)" font ....
plot "$i" u 1:($4*$5*$i/$16) w l lt .... , "$i" u ($4*$5*$i/$16) w l lt ....
unset ..
unset ..
set ..
set ..
set lable "(d)" font ....
plot "$i" u 1:11 w l lt .... , "$i" u 1:18 w l lt ....
and so on where $i is a variable file name having data that to be plotted, 100.0000, 150.0000, 200.0000, ..... and so on.
推荐答案
假设我已正确理解您的问题，则无需外部脚本.您也可以在gnuplot中执行此操作.使用三元运算符作为过滤器:
Assuming I have understood your question correctly, there is no need for an external script. You can also do it in gnuplot. Use the ternary operator as filter:
例如:($ 2 == 100?$ 2:NaN)
用文字表示:如果column2的值等于100，则取column2的值，否则取NaN(不会绘制).
in words: if the column2-value is equal to 100, take the column2-value value, otherwise take NaN (which will not be plotted.)
修改:我仍然不确定我是否了解您的最终目标.让我们再试一次.
I'm still not sure whether I've understood your final goal. Let's try once more.
代码:(已编辑)
YourFile.dat (在您的帖子中有些失真)
YourFile.dat (was a bit destorted in your post)
0.00098 50.0000 -73.62733500 0.37741253E+21 0.61856999E+04 0.23477516E+05 0.61856999E+04 0.37741253E+21 0.22799744E+05 0.23477516E+05 0.22799744E+05 0.32885992E+21 0.88623333E-05 0.9143842E-22 0.59361518E-21 0.91434842E-22 0.88623333E-05 0.76940601E-21 -0.11008087E-21 0.61205532E-22 0.18946967E-04 0.46510926E+15 0.84479535E-02 0.32276586E-01 0.84479535E-02 0.46510926E+15 0.1473355E-01 0.32276586E-01 0.31473355E-01 0.44827543E+15
0.00098 100.0000 -73.62549799 0.37578210E+21 0.65089174E+04 0.25164304E+05 0.65089174E+04 0.37578210E+21 0.24544833E+05 0.25164304E+05 0.24544833E+05 0.35067726E+21 0.51668308E-05 0.1764563E-21 0.80398976E-21 0.17649563E-21 0.51668308E-05 0.89345101E-21 0.73256391E-24 0.10266879E-21 0.16359894E-04 0.88915594E+15 0.15704246E-01 0.66816427E-01 0.15704246E-01 0.88915594E+15 0.5852810E-01 0.66816427E-01 0.65852810E-01 0.92442123E+15
0.00098 150.0000 -73.62497753 0.37191742E+21 0.64483669E+04 0.25884494E+05 0.64483669E+04 0.37191742E+21 0.25340696E+05 0.25884494E+05 0.25340696E+05 0.35980685E+21 -0.23512396E-05 0.1633744E-21 0.58153481E-21 0.16331744E-21 -0.23512396E-05 0.60771148E-21 0.50286216E-22 0.86373493E-22 0.50098427E-05 0.13431409E+16 0.20196300E-01 0.99364940E-01 0.20196300E-01 0.13431409E+16 0.7983721E-01 0.99364940E-01 0.97983721E-01 0.13754518E+16
0.00098 200.0000 -73.62563644 0.37048872E+21 0.62302191E+04 0.26197599E+05 0.62302191E+04 0.37048872E+21 0.25696216E+05 0.26197599E+05 0.25696216E+05 0.36375679E+21 -0.63534979E-05 0.1937109E-21 0.35080011E-21 0.19373109E-21 -0.63534979E-05 0.34652203E-21 0.74754878E-22 0.75715625E-22 -0.25397863E-05 0.18008807E+16 0.23385420E-01 0.13054336E+00 0.23385420E-01 0.18008807E+16 0.2878815E+00 0.13054336E+00 0.12878815E+00 0.18120888E+16
0.00098 250.0000 -73.62700262 0.37004605E+21 0.59702233E+04 0.26319789E+05 0.59702233E+04 0.37004605E+21 0.25845805E+05 0.26319789E+05 0.25845805E+05 0.36538123E+21 -0.87562569E-05 0.2350035E-21 0.21794599E-21 0.23508035E-21 -0.87562569E-05 0.20313466E-21 0.86523972E-22 0.74216616E-22 -0.69471421E-05 0.22540241E+16 0.26857802E-01 0.16135874E+00 0.26857802E-01 0.22540241E+16 0.5941431E+00 0.16135874E+00 0.15941431E+00 0.22455089E+16
0.00098 300.0000 -73.62885616 0.36987141E+21 0.57283989E+04 0.26353384E+05 0.57283989E+04 0.36987141E+21 0.25902439E+05 0.26353384E+05 0.25902439E+05 0.36594140E+21 -0.10680927E-04 0.2650374E-21 0.16112721E-21 0.26509374E-21 -0.10680927E-04 0.14526557E-21 0.94641866E-22 0.80057120E-22 -0.97718295E-05 0.27036601E+16 0.31147309E-01 0.19222339E+00 0.31147309E-01 0.27036601E+16 0.9021091E+00 0.19222339E+00 0.19021091E+00 0.26798788E+16
0.00098 350.0000 -73.63111766 0.36975138E+21 0.55256178E+04 0.26348308E+05 0.55256178E+04 0.36975138E+21 0.25919105E+05 0.26348308E+05 0.25919105E+05 0.36603300E+21 -0.12473836E-04 0.2799651E-21 0.14542677E-21 0.27991651E-21 -0.12473836E-04 0.13260173E-21 0.10349056E-21 0.91453794E-22 -0.11905859E-04 0.31506980E+16 0.36215123E-01 0.22310409E+00 0.36215123E-01 0.31506980E+16 0.2106737E+00 0.22310409E+00 0.22106737E+00 0.31144960E+16
0.00098 400.0000 -73.63376390 0.36962941E+21 0.53639569E+04 0.26326807E+05 0.53639569E+04 0.36962941E+21 0.25918318E+05 0.26326807E+05 0.25918318E+05 0.36591763E+21 -0.14220403E-04 0.2831619E-21 0.14955855E-21 0.28313619E-21 -0.14220403E-04 0.14127110E-21 0.11444368E-21 0.10676100E-21 -0.13748475E-04 0.35950954E+16 0.41845525E-01 0.25383427E+00 0.41845525E-01 0.35950954E+16 0.5177268E+00 0.25383427E+00 0.25177268E+00 0.35473558E+16
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0.00088 300.0000 -73.63388094 0.37059725E+21 0.57200805E+04 0.26388504E+05 0.57200805E+04 0.37059725E+21 0.25937968E+05 0.26388504E+05 0.25937968E+05 0.36652831E+21 -0.10650982E-04 0.2802615E-21 0.15871828E-21 0.28027615E-21 -0.10650982E-04 0.14127829E-21 0.94981648E-22 0.78791576E-22 -0.97803455E-05 0.27091876E+16 0.31151464E-01 0.19270788E+00 0.31151464E-01 0.27091876E+16 0.9068573E+00 0.19270788E+00 0.19068573E+00 0.26869618E+16
0.00088 350.0000 -73.63614996 0.37048515E+21 0.55180785E+04 0.26389620E+05 0.55180785E+04 0.37048515E+21 0.25960717E+05 0.26389620E+05 0.25960717E+05 0.36669836E+21 -0.12440648E-04 0.2919701E-21 0.14519602E-21 0.29192701E-21 -0.12440648E-04 0.13087283E-21 0.10399632E-21 0.90465017E-22 -0.11883078E-04 0.31568961E+16 0.36263232E-01 0.22355459E+00 0.36263232E-01 0.31568961E+16 0.2149884E+00 0.22355459E+00 0.22149884E+00 0.31212561E+16
0.00088 400.0000 -73.63880416 0.37036359E+21 0.53575705E+04 0.26370453E+05 0.53575705E+04 0.37036359E+21 0.25962009E+05 0.26370453E+05 0.25962009E+05 0.36661010E+21 -0.14182669E-04 0.2922978E-21 0.15013898E-21 0.29220978E-21 -0.14182669E-04 0.14042935E-21 0.11496157E-21 0.10587162E-21 -0.13709985E-04 0.36020363E+16 0.41934011E-01 0.25428552E+00 0.41934011E-01 0.36020363E+16 0.5219999E+00 0.25428552E+00 0.25219999E+00 0.35543290E+16
0.00088 450.0000 -73.64184230 0.37022231E+21 0.52333430E+04 0.26342343E+05 0.52333430E+04 0.37022231E+21 0.25953006E+05 0.26342343E+05 0.25953006E+05 0.36640177E+21 -0.15893927E-04 0.2862579E-21 0.16414594E-21 0.28622579E-21 -0.15893927E-04 0.15932400E-21 0.12801731E-21 0.12375407E-21 -0.15409973E-04 0.40438995E+16 0.47936929E-01 0.28469972E+00 0.47936929E-01 0.40438995E+16 0.8256954E+00 0.28469972E+00 0.28256954E+00 0.39837674E+16
0.00088 500.0000 -73.64527159 0.37005624E+21 0.51383471E+04 0.26309427E+05 0.51383471E+04 0.37005624E+21 0.25937643E+05 0.26309427E+05 0.25937643E+05 0.36612421E+21 -0.17573957E-04 0.2778495E-21 0.18306450E-21 0.27785495E-21 -0.17573957E-04 0.18280354E-21 0.14281249E-21 0.14309562E-21 -0.17035150E-04 0.44815165E+16 0.54098895E-01 0.31461586E+00 0.54098895E-01 0.44815165E+16 0.1242259E+00 0.31461586E+00 0.31242259E+00 0.44073774E+16
0.00088 550.0000 -73.64910260 0.36986122E+21 0.50659443E+04 0.26272890E+05 0.50659443E+04 0.36986122E+21 0.25917047E+05 0.26272890E+05 0.25917047E+05 0.36579299E+21 -0.19218494E-04 0.2695434E-21 0.20509650E-21 0.26954434E-21 -0.19218494E-04 0.20879750E-21 0.15888880E-21 0.16314438E-21 -0.18599755E-04 0.49137589E+16 0.60300709E-01 0.34386977E+00 0.60300709E-01 0.49137589E+16 0.4159799E+00 0.34386977E+00 0.34159799E+00 0.48230954E+16
0.00088 600.0000 -73.65334679 0.36963309E+21 0.50106041E+04 0.26232768E+05 0.50106041E+04 0.36963309E+21 0.25891307E+05 0.26232768E+05 0.25891307E+05 0.36540978E+21 -0.20822820E-04 0.2626163E-21 0.22943144E-21 0.26260163E-21 -0.20822820E-04 0.23640317E-21 0.17581883E-21 0.18337464E-21 -0.20104328E-04 0.53394250E+16 0.66465448E-01 0.37231234E+00 0.66465448E-01 0.53394250E+16 0.6995156E+00 0.37231234E+00 0.36995156E+00 0.52289612E+16
0.00088 650.0000 -73.65801490 0.36936762E+21 0.49679766E+04 0.26188686E+05 0.49679766E+04 0.36936762E+21 0.25860167E+05 0.26188686E+05 0.25860167E+05 0.36497102E+21 -0.22382683E-04 0.2575998E-21 0.25565946E-21 0.25755998E-21 -0.22382683E-04 0.26521737E-21 0.19324488E-21 0.20343380E-21 -0.21545303E-04 0.57573082E+16 0.72546330E-01 0.39981053E+00 0.72546330E-01 0.57573082E+16 0.9735516E+00 0.39981053E+00 0.39735516E+00 0.56231557E+16
0.00088 700.0000 -73.66311585 0.36906067E+21 0.49347436E+04 0.26140162E+05 0.49347436E+04 0.36906067E+21 0.25823297E+05 0.26140162E+05 0.25823297E+05 0.36447145E+21 -0.23894574E-04 0.2544799E-21 0.28352559E-21 0.25447799E-21 -0.23894574E-04 0.29504345E-21 0.21088140E-21 0.22309387E-21 -0.22918721E-04 0.61662451E+16 0.78516921E-01 0.42624970E+00 0.78516921E-01 0.61662451E+16 0.2369819E+00 0.42624970E+00 0.42369819E+00 0.60040577E+16
0.00088 750.0000 -73.66865606 0.36870841E+21 0.49084160E+04 0.26086737E+05 0.49084160E+04 0.36870841E+21 0.25780392E+05 0.26086737E+05 0.25780392E+05 0.36390571E+21 -0.25355784E-04 0.2531245E-21 0.31282663E-21 0.25315245E-21 -0.25355784E-04 0.32575977E-21 0.22850582E-21 0.24221285E-21 -0.24221592E-04 0.65651466E+16 0.84363890E-01 0.45153530E+00 0.84363890E-01 0.65651466E+16 0.4888920E+00 0.45153530E+00 0.44888920E+00 0.63702891E+16
0.00088 800.0000 -73.67463901 0.36830739E+21 0.48871430E+04 0.26028025E+05 0.48871430E+04 0.36830739E+21 0.25731210E+05 0.26028025E+05 0.25731210E+05 0.36326904E+21 -0.26764355E-04 0.2532713E-21 0.34336830E-21 0.25325713E-21 -0.26764355E-04 0.35726002E-21 0.24594704E-21 0.26070611E-21 -0.25452271E-04 0.69530140E+16 0.90081852E-01 0.47559329E+00 0.90081852E-01 0.69530140E+16 0.7285647E+00 0.47559329E+00 0.47285647E+00 0.67207365E+16
0.00083 50.0000 -73.63460788 0.37260205E+21 0.61107593E+04 0.22946119E+05 0.61107593E+04 0.37260205E+21 0.22154164E+05 0.22946119E+05 0.22154164E+05 0.31988878E+21 0.85731826E-05 0.4297228E-22 0.39630729E-21 0.42979228E-22 0.85731826E-05 0.57458467E-21 -0.12625719E-21 0.42899215E-22 0.16148230E-04 0.45714847E+15 0.80318416E-02 0.31283285E-01 0.80318416E-02 0.45714847E+15 0.0552566E-01 0.31283285E-01 0.30552566E-01 0.43628859E+15
代码:
### filter data
reset session
FILE = 'YourFile.dat'
# extract unique values from column2 and put it into an array
set table $Dummy
plot FILE u 2 smooth freq
unset table
array myValues[|$Dummy|-6] # array size -3 header and -3 footer lines
set table $Dummy2
plot $Dummy u (myValues[$0+1] = $1) with table
unset table
print myValues
# alternatively you could set your array manually
# array myValues[16] =[50,100,150,200,250,300,350,400,450,500,550,600,650,700,750,800]
set datafile missing NaN
set offset 1e-5, 1e-5, 20,20
set xtics 1e-4
set key top left font ",6" out samplen 1
myTitle(i) = sprintf("%g",myValues[i])
set multiplot layout 2,2
plot for [i=1:|myValues|] FILE u 1:($2==myValues[i] ? $5 : NaN) w lp pt 7 lc i t myTitle(i), \
for [i=1:|myValues|] '' u 1:($2==myValues[i] ? $12 : NaN) w lp pt 7 lc i notitle
plot for [i=1:|myValues|] FILE u 1:($2==myValues[i] ? $8*$9 : NaN) w lp pt 7 lc i t myTitle(i), \
for [i=1:|myValues|] '' u 1:($2==myValues[i] ? $12 : NaN) w lp pt 7 lc i notitle
plot for [i=1:|myValues|] FILE u 1:($2==myValues[i] ? $4*$5*i/$16 : NaN) w lp pt 7 lc i t myTitle(i), \
for [i=1:|myValues|] '' u 1:($2==myValues[i] ? $12 : NaN) w lp pt 7 lc i notitle
plot for [i=1:|myValues|] FILE u 1:($2==myValues[i] ? $11 : NaN) w lp pt 7 lc i t myTitle(i), \
for [i=1:|myValues|] '' u 1:($2==myValues[i] ? $18 : NaN) w lp pt 7 lc i notitle
unset multiplot
### end of code
Result:
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